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Nature-Inspired Intelligence Methods and Applications.
- Source :
- Mathematical Problems in Engineering; 9/2/2022, p1-2, 2p
- Publication Year :
- 2022
-
Abstract
- Research in nature-inspired intelligence methods and applications has increased exponentially in the past decade. In the paper "Multiobjective brain storm optimization community detection method based on novelty search" by Pan et al., a multiobjective brain storm optimization based on novelty search (MOBSO-NS) was proposed to solve the premature convergence caused by the loss of diversity in complex network community detection. Inspired by a natural phenomenon from biology, physics, or sociology, population-based nature-inspired algorithms aim to achieve satisfactory results for many difficult optimization problems effectively. [Extracted from the article]
- Subjects :
- SEARCH algorithms
PARTICLE swarm optimization
PUBLIC spaces
Subjects
Details
- Language :
- English
- ISSN :
- 1024123X
- Database :
- Complementary Index
- Journal :
- Mathematical Problems in Engineering
- Publication Type :
- Academic Journal
- Accession number :
- 158881511
- Full Text :
- https://doi.org/10.1155/2022/9825231